AI BriefingHeuristic Parasites: A Classification of LLM Distortion Patterns
·2026.05.30 05:21
Key point
This introduces the 'Heuristic Parasites' study, which classifies 33 patterns of reasoning degradation that occur during LLM conversations.
Details
This presents a 33-class classification system for 'Heuristic Parasites', a recursive distortion pattern appearing in LLM outputs. Based on the framework of Berardi (2026), it analyzes the phenomenon of reasoning ability progressively degrading as conversations continue.
This study includes the following core elements:
- 5 Generative Domains: Optimization Artifacts, Alignment Substitutions, Semantic Distortions, Rhetorical Distortions, and Statistical Distortions.
- Measurement Protocol: Provides the PPE (Parasites Per Exchange) protocol for quantifying the frequency of parasite occurrences per conversational exchange.
- Analytical Framework: Establishes a structural framework for observing LLM behavioral failures independent of architecture, through strict operational definitions, recognition criteria, classical fallacy mapping, and reproducible measurement methods.
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